Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Sleep Apnea01:21

Sleep Apnea

591
Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
591
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Insufficient Sleep and Sleep Deprivation01:13

Insufficient Sleep and Sleep Deprivation

962
Insufficient sleep refers to not getting the recommended amount of sleep for optimal functioning, even if it's just slightly less than needed. Sleep insufficiency may occur due to lifestyle choices, such as staying up late for social events or work, resulting in routinely getting less sleep than required. For example, consistently sleeping 6 hours when the body needs 7-9 hours can lead to cumulative effects on health and well-being.
Sleep deprivation is a more severe form of sleep loss...
962
Stages of Sleep01:22

Stages of Sleep

1.5K
Sleep progresses through distinct stages, each characterized by specific brain wave patterns and physiological responses ranging from wakefulness to stages of non-rapid eye movement, known as non-REM, to rapid eye movement, referred to as REM. Understanding these stages helps in recognizing how sleep supports various bodily and cognitive functions.
Before sleep begins, in wakefulness, the brain exhibits primarily beta waves, which are high in frequency and low in amplitude, indicating alertness...
1.5K
Impact of Groups on Groups01:19

Impact of Groups on Groups

262
Social psychologists analyze how groups influence one another, shaping social structures and interactions through both cooperation and competition. These dynamics manifest in various ways, ranging from economic partnerships to intergroup conflicts that shape societal structures and perceptions.Cooperation and Competition in Intergroup RelationsIntergroup relationships vary across contexts, sometimes fostering cooperation and mutual benefit while at other times leading to conflict and...
262
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Unveiling Mild OSA: Oximetry Clusters Reveal Hidden Sleep Disruption Independent of AHI.

Journal of sleep research·2026
Same author

The potential of clustering methods for pre-test triage in sleep medicine: A systematic review.

Sleep medicine reviews·2026
Same author

Arts on prescription for wellbeing in adults: systematic review.

Frontiers in public health·2026
Same author

Physiological and Sleep Profiles in Insomnia, OSA and COMISA: A Comparative Study in Portugal and Spain.

Journal of sleep research·2026
Same author

Data generation in healthcare environments.

Journal of biomedical informatics·2026
Same author

A subject-based association network defines new pediatric sleep apnea phenotypes with different odds of recovery after treatment.

Computer methods and programs in biomedicine·2025

Related Experiment Video

Updated: Feb 11, 2026

Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea
07:54

Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea

Published on: December 6, 2016

20.7K

Impact of Imputing Missing Data in Bayesian Network Structure Learning for Obstructive Sleep Apnea Diagnosis.

Daniela Ferreira-Santos1, Matilde Monteiro-Soares1, Pedro Pereira Rodrigues1

  • 1CINTESIS - Centre for Health Technology and Services Research, Portugal.

Studies in Health Technology and Informatics
|April 22, 2018
PubMed
Summary

This study addresses missing data in medical records for diagnosing Obstructive Sleep Apnea (OSA). A step-wise nearest neighbors

Keywords:
Bayesian networkmissing data imputationobstructive sleep apnea

More Related Videos

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

8.3K
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K

Related Experiment Videos

Last Updated: Feb 11, 2026

Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea
07:54

Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea

Published on: December 6, 2016

20.7K
Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

8.3K
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K

Area of Science:

  • Medical Informatics
  • Machine Learning
  • Healthcare Decision Support

Background:

  • Healthcare professionals make daily diagnostic decisions.
  • Bayesian networks aid these decisions but require complete data.
  • Missing data is prevalent in medical datasets, hindering Bayesian network application.

Purpose of the Study:

  • To investigate missing data imputation methods for Bayesian network structure learning.
  • To assess the impact of imputation on the validity of Bayesian network classifiers.
  • Specifically for diagnosing Obstructive Sleep Apnea (OSA).

Main Methods:

  • Utilized a step-wise nearest neighbors' algorithm for missing data imputation.
  • Evaluated the algorithm's effect on the structure learning of Bayesian network classifiers.
  • Focused on the context of Obstructive Sleep Apnea diagnosis.

Main Results:

  • The step-wise nearest neighbors' imputation method demonstrated limited negative impact.
  • Assessed validity of structure learning Bayesian network classifiers was maintained.
  • The imputation technique proved suitable for OSA diagnostic applications.

Conclusions:

  • Step-wise nearest neighbors' imputation is a viable method for handling missing medical data.
  • This approach supports the use of Bayesian networks in OSA diagnosis despite data gaps.
  • Imputation strategies are crucial for robust machine learning in clinical settings.